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🎣 Classify Fish Images Using MobileNetV2 & TensorFlow 🧠
In this hands-on video, I’ll show you how I built a deep learning model that can classify 9 different species of fish using MobileNetV2 and TensorFlow 2.10 — all trained on a real Kaggle dataset!
From dataset splitting to live predictions with OpenCV, this tutorial covers the entire image classification pipeline step-by-step.
🚀 What you’ll learn:
- How to preprocess & split image datasets
- How to use ImageDataGenerator for clean input pipelines
- How to customize MobileNetV2 for your own dataset
- How to freeze layers, fine-tune, and save your model
- How to run predictions with OpenCV overlays!
👉 Watch the full tutorial here: https://youtu.be/9FMVlhOGDoo
You can download the code here : https://ko-fi.com/s/44ce6c2ad8
You can download the dataset here : https://www.kaggle.com/datasets/crowww/a-large-scale-fish-dataset
You can find more tutorials, and join my newsletter here : https://eranfeit.net/
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic
Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
Enjoy
Eran
